11 May, 2020

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Introduction

Data set:

  • breast cancer

  • proteomics by mass spectrometry

  • four classes

Goal:

  • Explore the data to identify patterns

  • Create models to predict breast cancer class

Material and Methods

Material and Methods

Material and Methods

Material and Methods

Results — no definitive effects between expression landscapes and specific tumor subclasses

Results — breast cancer subtypes in the dataset are well represented

Results — breast cancer subtypes do not discriminate on age

Results — breast cancer and gender

Results — protein expresion heatmap

Results — dimentionality reduction

Results — K-means clustering

Results — ANN model’s structure

Results — ANN performance

Discussion

  • What could have been better

  • further work

The end